Analysis and improvement of total variation regularization

HKUST Electronic Theses

Analysis and improvement of total variation regularization

by Lo Wing Cheong

THESIS 2006

M.Phil. Mathematics

x, 58 leaves : ill. ; 30 cm

Abstract
Total variation minimizing model (ROF model) is one of the successful methods of image recovery. In this paper, we study some properties of the standard ROF model and the improved ROF model. Some results are based on the papers of Chan, Strong, Esedoglu and Osher. We will use another approach to consider the theorems in all these papers and try to extend the results from R² to R^N. Finally, we will give some suggestions for the new models and give some experimental results.

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Details

Collection HKUST Electronic Theses Degree M.Phil. Department Mathematics Authors Lo, Wing Cheong Subjects Image reconstruction Image processing Digital techniques Language English Call number Thesis MATH 2006 Lo DOI 10.14711/thesis-b930763

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Analysis and improvement of total variation regularization

by Lo Wing Cheong

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